{"id":"W1990541705","doi":"10.1145/508530.508536","title":"Hatching by example","year":2002,"lang":"en","type":"article","venue":"","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hatching; Computer science; Biology; Animal science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003692626,0.0006544411,0.0004300228,0.0008083486,0.0007041926,0.001704179,0.001219681,0.001002299,0.05267524],"category_scores_gemma":[0.002304106,0.000315015,0.0007171322,0.0006733782,0.0006611421,0.001548255,0.001642771,0.0007905169,0.0102626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266839,"about_ca_system_score_gemma":0.000269566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211444,"about_ca_topic_score_gemma":0.002736601,"domain_scores_codex":[0.9995158,0.00009241575,0.00003099392,0.0001347395,0.0001866908,0.00003937627],"domain_scores_gemma":[0.999378,0.0001987511,0.00003722647,0.0002259934,0.000107768,0.00005226634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002960819,0.00007377064,0.001392785,0.0004694035,0.00004547323,0.001085803,0.00114425,0.02351842,0.02963405,0.2335472,0.07982004,0.6289728],"study_design_scores_gemma":[0.00007049055,0.000146805,0.001215188,0.0001016661,0.00005300491,0.00203039,0.0002772365,0.1963033,0.02373167,0.10443,0.6715701,0.00007014848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01009516,0.0003360075,0.9086878,0.0005177517,0.0002626407,0.0002206744,0.0006230016,0.006384965,0.07287195],"genre_scores_gemma":[0.1398123,0.0004052271,0.7857531,0.0002524674,0.0001070416,0.000155481,0.001061683,0.00116467,0.07128812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05267524,"threshold_uncertainty_score":0.1762162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255727485807766,"score_gpt":0.1684324724613563,"score_spread":0.1428597238805797,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}